as.dictionary.textmodel_wordmap

as.list.textmodel_wordmap

<code><a href="/link/as.list()?package=wordmap&version=0.9.5" data-mini-rdoc="wordmap::as.list()">as.list()</a></code> returns features with the largest coefficients as a list of
character vector. <code>as.dictionary()</code> returns a quanteda::dictionary object
that can be use for dictionary analysis.

Extract features and classify documents with noisy labels given by document-meta data or keyword matching Watanabe & Zhou (2020) <doi:10.1177/0894439320907027>.

Kohei Watanabe

wordmap

Feature Extraction and Document Classification with Noisy Labels

as.dictionary.textmodel_wordmap function

<dl><dt>x</dt>
<dd>a model fitted by <code>textmodel_wordmap()</code>.</dd>
<dt>separator</dt>
<dd>the character in between multi-word dictionary values. If
<code>NULL</code>, <code>x$concatenator</code> will be used.</dd>
<dt>...</dt>
<dd>passed to coef.textmodel_wordmap</dd></dl>

Arguments

<code><a href='https://rdrr.io/r/base/list.html'>as.list()</a></code> returns features with the largest coefficients as a list of
character vector. <code>as.dictionary()</code> returns a quanteda::dictionary object
that can be use for dictionary analysis.

Create lexicon from a Wordmap model — as.dictionary.textmodel_wordmap

<dl>

<dt>x</dt>
<dd>a model fitted by <code>textmodel_wordmap()</code>.</dd>


<dt>separator</dt>
<dd>the character in between multi-word dictionary values. If
<code>NULL</code>, <code>x$concatenator</code> will be used.</dd>


<dt>...</dt>
<dd>passed to coef.textmodel_wordmap</dd>

</dl>

as.dictionary.textmodel_wordmap: Create lexicon from a Wordmap model

Description

Usage

Value

Arguments